Title Neuronų skaičiaus parinkimas vektorių kvantavimo metoduose /
Translation of Title Selection of number of neurons for vector quantization methods.
Authors Kurasova, Olga ; Molytė, Alma
DOI 10.15388/LMR.2008.18121
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Is Part of Lietuvos matematikos rinkinys.. Vilnius : Vilniaus universiteto leidykla. 2008, t. 48/49, p. 354-359.. ISSN 0132-2818. eISSN 2335-898X
Keywords [eng] vector quantization ; self-organizing map ; neural gas ; quantization error
Abstract [eng] In this paper, a strategy of the selection of the neurons number for vector quantization methods has been investigated. Two methods based on neural networks have been analysed: self-organizingmap and neural gas. There is suggested a way under which the number of neurons is selected taken into account the particularity of the analysed data set.
Published Vilnius : Vilniaus universiteto leidykla
Type Conference paper
Language Lithuanian
Publication date 2008
CC license CC license description